But it is way more complex than that.

!!! tip
    If you are in a hurry or don't care, continue with the next sections for step by step instructions to set everything up with different techniques.

To **learn the basics of HTTPS**, from a consumer perspective, check <a href="https://howhttps.works/" class="external-link" target="_blank">https://howhttps.works/</a>.

	tx = db.getInstance()
	tx.Statement.Model = value
	return
}

// Clauses Add clauses
//
// This supports both standard clauses (clause.OrderBy, clause.Limit, clause.Where) and more
// advanced techniques like specifying lock strength and optimizer hints. See the
// [docs] for more depth.
//
//	// add a simple limit clause
//	db.Clauses(clause.Limit{Limit: 1}).Find(&User{})

The next few subsections introduce techniques that can reduce time spent in the configuration phase.

NOTE: You can also <<enable_configuration_cache,enable the configuration cache>> to reduce the impact of a slow configuration phase. But even machines that use the cache still occasionally execute your configuration phase. As a result, you should make the configuration phase as fast as possible with these techniques.

=== Avoid expensive or blocking work

If you have tasks that are re-executing instead of loading their outputs from the cache, then it may point to a problem in your build.
Techniques for debugging a cache miss are explained in the following section.

== Helpful data for diagnosing a cache miss

* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth.
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.

* Sécurité et authentification, y compris la prise en charge de **OAuth2** avec les **<abbr title="en anglais : JWT tokens">jetons <abbr title="JSON Web Tokens">JWT</abbr></abbr>** et l'authentification **HTTP Basic**.
* Des techniques plus avancées (mais tout aussi faciles) pour déclarer les **modèles <abbr title="JavaScript Object Notation">JSON</abbr> profondément imbriqués** (grâce à Pydantic).

* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth.
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.

	// The -c core.eol=lf should be unnecessary but set it anyway.
	//
	// Note: We use git archive to understand which files are actually included,
	// ignoring things like .gitignore'd files. We could also use other
	// techniques like git ls-files, but this approach most closely matches what
	// the Go command does, which is beneficial.
	//

// while the recursive call using m2 will use expNNMontgomery.
// For more details, see Ç. K. Koç, “Montgomery Reduction with Even Modulus”,
// IEE Proceedings: Computers and Digital Techniques, 141(5) 314-316, September 1994.
// http://www.people.vcu.edu/~jwang3/CMSC691/j34monex.pdf
func (z nat) expNNMontgomeryEven(x, y, m nat) nat {
	// Split m = m₁ × m₂ where m₁ = 2ⁿ
	n := m.trailingZeroBits()

        [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).
        This class implements the sharpness-aware minimization technique, which
        boosts model performance on various tasks, e.g., ResNet on image
        classification.

*   `tf.data`:

    *   Added support for cross-trainer data caching in tf.data service. This